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One of the joys of working in-house is seeing the cumulative buildup of your efforts over time.
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Origami research participant (instructions) The research process is in many ways at odds with the demands of industry in a capitalist society.
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During the analysis phase of research I attempt to make sense of my collated qualitative and/or quantitative data.
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Over the last couple of months Dave Hora and I have been discussing how you might create a conceptual view of research interviews for the purpose of teaching, improving, and reflecting on interview approaches.
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Machine maintenance Technicians worry more about the social damage another technician can do in their territory than about what might happen with the machine, perhaps because the machine would be easier to repair than the delicate social equilibrium.
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While going through some log data for my previous blogposts on visualising linear journeys and non-linear journeys, one thing stood out: the gaps between interactions.
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Experiment: links to inspiring work, published at irregular intervals.
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Qualitative interviews are in essence a series of questions and answers, ping-ponged between the interviewer and the interviewee.
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Somewhere at the intersection of ‘in-depth understanding’, ‘longitudinal data’, and ‘mixed-methods research’ lies an underused approach: case study research.
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Previously I wrote about visualising the analytics data of individual users’ journeys using the following notation: At the time I concluded by saying: The transactional nature of the example in this blogpost makes it relatively straightforward to come up…